A Guidance to Legacy Systems Modernization

Abstract

Rapid development of information technology and communication (ICT) has increased the use of information systems in organizations since a decade ago. At the same time, many organizations are still using old information systems to support their business, known as legacy systems. Even though these systems cause technical problems, but they are still used to support service delivery to the customer. These systems are also essential to organizations as they have been operated for many years and possess high business value. The operation of legacy systems cannot be stopped quickly, as it will affect daily business tasks. However, organizations with legacy systems need to think about the ability of the systems to support their future direction. Modernization of legacy systems needs to be implemented to ensure the systems are aligned with global changes as well as improving the competitiveness of the organizations. This study, therefore, reviewed the phases and factors involved in legacy systems modernization to identify gaps and their insufficiencies. There are many studies on legacy systems, but only a few have focused on the overall process of legacy systems modernization. Most studies on legacy systems are technical in nature and refer to specific aspects and phases of modernization. This study aims to provide overall guidance to the organizations in performing legacy systems modernization.

Virtual state, where are you? A literature review, framework and agenda for failed digital transformation

“…Organizational capabilities have to do with whether organizations possess the requisite capacities to use big data and create value from it for the organization and society (Klievink et al, 2017). From a techno-rational perspective, this has to do with organizations’ capability to design, develop and maintain suitable IT infrastructure (Abu Bakar et al, 2020) . Besides the diversification of IT systems across agencies that stands in the way of sharing data, the literature also mentions that IT systems are often outdated and unsuitable to store, process and analyse big data, which can lead to data leaks or low-quality government services (Kalema and Mokgadi, 2017; Lobao et al, 2018; Mu and Wang, 2020; Thompson et al, 2015).…”

Legacy Digital Transformation: TCO and ROI Analysis

“…Studied [6] the cultural readiness of the executives is important. Studied [7] different papers on legacy migrations and identified the factors -Process Aspects, Human Aspects, and Organization Aspects. Proposed 5 phased migration approach called Plan for Modernization, System Requirement Gathering, Design & Development, Testing, and Execution.…”

A Black-Box Computational Business Rules Extraction Approach through Test-Driven Development

“…Software Evolution is regarded as a term that refers to the procedure of developing software initially, then timely updating it for different reasons, for instance, to add new characteristics or to terminate obsolete functionalities, etc. [1][2][3]. Some legacy software systems cannot be feasibly modified or expanded further [2,4,5].…”

“…[1][2][3]. Some legacy software systems cannot be feasibly modified or expanded further [2,4,5]. Thus, many organizations evolve their legacy software systems through redevelopment or replacement of these systems to sufficient support business goals.…”